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Detection Techniques for High Dimensional Spatial Multiplexing MIMO System
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 Title & Authors
Detection Techniques for High Dimensional Spatial Multiplexing MIMO System
Lim, Sung-Ho; Kim, Kyungsoo; Choi, Ji-Woong;
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With the increasing demands on high data rate, there has been growing interests in multi-input multi-output (MIMO) technology based on spatial multiplexing (SM) since it can transmit independent information in each spatial stream. Recent standards such as 3GPP LTE-advanced and IEEE 802.11ac support up to eight spatial streams, and massive MIMO and mm-wave systems that are expected to be included in beyond 4G systems are considering employment of tens to hundreds of antennas. Since the complexity of the optimum maximum likelihood based detection method increases exponentially with the number of antennas, low-complexity SM MIMO detection becomes more critical as the number of antenna increases. In this paper, we first review the results on the detection schemes for SM MIMO systems. In addition, massive MIMO reception schemes based on simple linear filtering which does not require exponential increment of complexity will be explained, followed by brief description on receiver design for future high dimensional SM MIMO systems.
spatial multiplexing MIMO;maximum likelihood detection;linear detector;massive MIMO;
 Cited by
MIMO 시스템에서 LDPC 부호 기반의 터보등화 방식 연구,백창욱;정지원;

한국통신학회논문지, 2016. vol.41. 5, pp.504-511 crossref(new window)
Q. Li, G. Li, W. Lee, M. Lee, D. Mazzarese, B. Clerckx, and Z. Li, "MIMO techniques in WiMAX and LTE: A feature overview," IEEE Commun. Mag., vol. 48, no. 5, pp. 86-92, May 2010.

S. Yong, P. Xia, and A. Valdes-Garcia, 60GHz technology for Gbps WLAN and WPAN: From theory to practice, NY: John Wiley & Sons, 2011.

J.-W. Choi, J. Lee, H. Kwon, and I. Kang, Chapter 8: Efficient MIMO receiver design for next generation wireless systems (R. Mahmoudi and K. Iniewski, Low Power Emerging Wireless Technologies), CRC press, Feb. 2013.

F. Rusek, D. Persson, B. K. Lau, E. G. Larsson, T. L. Marzetta, O. Edfors, and F. Tufvesson, "Scaling up MIMO: Opportunities and challenges with large arrays," IEEE Signal Processing Mag., vol. 30, no. 1, pp. 40-60, Jan. 2012.

C. Lee, C.-B. Chae, T. Kim, S. Choi, and J. Lee, "Network massive MIMO for cell-boundary users: From a precoding normalization perspective," in Proc. IEEE Globecom, pp. 233-237, California, USA, Dec. 2012.

Y.-G Lim and C.-B. Chae, "Understanding of massive MIMO technology," IEEK Mag., vol. 39, no. 11, pp. 63-70, Nov. 2012.

S. Sugiura, S. Chen, and L. Hanzo, "A universal space-time architecture for multiple-antenna aided systems," IEEE Commun. Surveys & Tutorials, vol. 14, no. 2, pp. 401-420, Jan. 2012. crossref(new window)

G. J. Foschini, "Space-time block codes from orthogonal designs," Bell Labs Technical J., vol. 2, pp. 41-59, 1996.

P. Wolniansky, G. Foschini, G. Golden, and R. Valenzuela, "V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel," in Proc. URSI Int. Symp. Signals, Systems, and Electronics (ISSSE), pp. 295-300, Pisa, Italy, Sept. 1998.

B. M. Hochwald and S. ten Brink, "Achieving near-capacity on a multiple-antenna channel," IEEE Trans. Commun., vol. 51, no. 3, pp. 389-399, Mar. 2003. crossref(new window)

C. Studer and H. Bolcskei, "Soft-input soft-output single tree-search sphere decoding," IEEE Trans. Inf. Theory, vol. 56, no. 10, pp. 4827-4842, Oct. 2010. crossref(new window)

Y. L. C. de Jong and T. J. Willink, "Iterative tree search detection for MIMO wireless systems," IEEE Trans. Commun., vol. 53, no. 6, pp. 930-935, Jun. 2005. crossref(new window)

L. G. Barbero and J. S. Thompson, "Extending a fixed-complexity sphere decoder to obtain likelihood information for turbo-MIMO systems," IEEE Trans. Veh. Technol., vol. 57, no. 5, pp. 2804-2814, Sept. 2008. crossref(new window)

C. Studer, A. Burg, and H. Bolcskei, "Soft-output sphere decoding: algorithms and VLSI implementation," IEEE J. Selected Areas in Commun., vol. 26, no. 2, pp. 290-300, Feb. 2008. crossref(new window)

L. Milliner, E. Zimmermann, J. R. Barry, and G. Fettweis, "A fixed-complexity smart candidate adding algorithm for soft-output MIMO detection," IEEE J. Selected Topics in Signal Processing, vol 3, no. 6, pp. 1016-1025, Dec. 2009. crossref(new window)

J.-S. Kim, S.-H. Moon, and I. Lee, "A new reduced complexity ML detection scheme for MIMO systems," IEEE Trans. Commun., vol. 58, no. 4, pp. 1302-1310, Apr. 2010. crossref(new window)

R. de Lamare and R. Sampaio-Neto, "Adaptive reduced-rank equalization algorithms based on alternating optimization design techniques for MIMO systems," IEEE Trans. Veh. Technol., vol. 60, no. 6, pp. 2482-2494, Jul. 2011. crossref(new window)

J. Lee, J.-W. Choi, and H.-L. Lou, "MIMO maximum likelihood soft demodulation based on dimension reduction," in Proc. IEEE Globecom, pp. 1-5, Miami, FL, USA, Dec. 2010.

J. Ketonen, M. Juntti, and J. R. Cavallaro, "Performance-complexity comparison of receivers for a LTE MIMO-OFDM system," IEEE Trans. Signal Processing, vol. 58, no. 6, pp. 3360-3372, Jun. 2010. crossref(new window)

S. W. Kim, and K. P. Kim, "Log-likelihood -ratio-based detection ordering in V-BLAST," IEEE Trans. Commun., vol. 54, no. 2, pp. 302-307, Feb. 2006. crossref(new window)

J.-W. Choi, J. Lee, H.-L. Lou, and J. Park, "Improved MIMO SIC detection exploiting ML criterion," in Proc. IEEE VTC, pp. 1-5, San Francisco, CA , USA, Sept. 2011.

J.-W. Choi, J. Lee, J. P. Choi, and H.-L. Lou, "MIMO soft near-ML demodulation with fixed low-complexity candidate selection," IEICE Trans. Commun., vol. E95-B, no. 9, pp. 2884-2891, Sept. 2012. crossref(new window)

S. -S. Shin, H. Choi, and J.-W. Choi, "A low-complexity iterative MIMO detection and decoding scheme using dimension reduction," Trans. Emerging Telecommun. Technol. (ETT), online published, May 2014.

H. Vikalo, B. Hassibi, and T. Kailath, "Iterative decoding for MIMO channels via modified sphere decoder," IEEE Trans. Wirel. Commun., vol. 3, no. 6, pp. 2299-2311, Nov. 2014.

J. W. Choi, A. C. Singer, J. Lee, and N. I. Cho, "Improved linear soft-input soft-output detection via soft feedback successive interference cancellation," IEEE Trans. Commun., vol. 58, no. 3, pp. 986-996, Mar. 2010. crossref(new window)

J. Hoydis, J. S. ten Brink, and M. Debbah, "Massive MIMO: How many antennas do we need?," in Proc. Allerton Conf. on Comm. Control and Comp., pp. 545-550, Monticello, IL, USA, Sept. 2011.

J. Lee, J.-W. Choi, H. Lou, and J. Park "Soft MIMO ML demodulation based on bitwise constellation partitioning," IEEE Commun. Lett., vol. 13, no. 10, pp. 736-738, Oct. 2009 crossref(new window)

B. H. Shim and B. J. Lee, "Evolution of MIMO Technology," J. KICS, vol. 38A, no. 8, pp. 712-723, Aug. 2013. crossref(new window)

S. Ahmed and S. Kim, "Low Complexity LSD Scheme for Joint Iterative MIMO Detection," J. KICS, vol. 38C, no. 11, pp. 1051-1059, Nov. 2013. crossref(new window)

M. C. Jung and S. Y. Choi, "Optimal Number of Base Station Antennas and Users in MF Based Multiuser Massive MIMO Systems," J. KICS, vol. 38A, no. 8, pp. 724-732, Aug. 2013. crossref(new window)